2023-09-03 11:26:26 +03:00
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from __future__ import annotations
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2023-08-28 02:43:45 +03:00
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import json
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2023-09-03 11:26:26 +03:00
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import uuid
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2023-08-28 02:43:45 +03:00
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from aiohttp import ClientSession
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2023-07-28 13:07:17 +03:00
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2023-08-28 02:43:45 +03:00
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from ..typing import AsyncGenerator
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from .base_provider import AsyncGeneratorProvider
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2023-07-28 13:07:17 +03:00
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2023-08-28 02:43:45 +03:00
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models = {
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"gpt-4": {
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"id": "gpt-4",
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"name": "GPT-4",
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"maxLength": 24000,
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"tokenLimit": 8000,
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},
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"gpt-3.5-turbo": {
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"id": "gpt-3.5-turbo",
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"name": "GPT-3.5",
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"maxLength": 12000,
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"tokenLimit": 4000,
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},
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"gpt-3.5-turbo-16k": {
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"id": "gpt-3.5-turbo-16k",
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"name": "GPT-3.5-16k",
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"maxLength": 48000,
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"tokenLimit": 16000,
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},
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}
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2023-07-28 13:07:17 +03:00
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2023-08-28 02:43:45 +03:00
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class Liaobots(AsyncGeneratorProvider):
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url = "https://liaobots.com"
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2023-09-12 05:40:10 +03:00
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working = False
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supports_gpt_35_turbo = True
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supports_gpt_4 = True
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_auth_code = None
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2023-08-28 02:43:45 +03:00
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@classmethod
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async def create_async_generator(
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cls,
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model: str,
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messages: list[dict[str, str]],
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auth: str = None,
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proxy: str = None,
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**kwargs
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) -> AsyncGenerator:
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2023-09-05 18:27:24 +03:00
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model = model if model in models else "gpt-3.5-turbo"
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headers = {
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2023-08-28 02:43:45 +03:00
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"authority": "liaobots.com",
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"content-type": "application/json",
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"origin": cls.url,
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"referer": cls.url + "/",
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"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36",
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}
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async with ClientSession(
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headers=headers
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) as session:
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auth_code = auth if isinstance(auth, str) else cls._auth_code
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if not auth_code:
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async with session.post(cls.url + "/api/user", proxy=proxy, json={"authcode": ""}) as response:
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response.raise_for_status()
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auth_code = cls._auth_code = json.loads(await response.text())["authCode"]
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data = {
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"conversationId": str(uuid.uuid4()),
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"model": models[model],
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"messages": messages,
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"key": "",
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"prompt": "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully.",
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}
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async with session.post(cls.url + "/api/chat", proxy=proxy, json=data, headers={"x-auth-code": auth_code}) as response:
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response.raise_for_status()
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async for stream in response.content.iter_any():
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if stream:
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yield stream.decode()
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@classmethod
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@property
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def params(cls):
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params = [
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("model", "str"),
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("messages", "list[dict[str, str]]"),
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("stream", "bool"),
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("proxy", "str"),
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("auth", "str"),
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]
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param = ", ".join([": ".join(p) for p in params])
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2023-09-18 00:23:54 +03:00
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return f"g4f.provider.{cls.__name__} supports: ({param})"
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